SOTAVerified

Retrieval-augmented Generation

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1651–1675 of 2196 papers

TitleStatusHype
UniAdapt: A Universal Adapter for Knowledge Calibration—0
Unified Generative and Discriminative Training for Multi-modal Large Language Models—0
Unimib Assistant: designing a student-friendly RAG-based chatbot for all their needs—0
UniMS-RAG: A Unified Multi-source Retrieval-Augmented Generation for Personalized Dialogue Systems—0
UniOQA: A Unified Framework for Knowledge Graph Question Answering with Large Language Models—0
UniRVQA: A Unified Framework for Retrieval-Augmented Vision Question Answering via Self-Reflective Joint Training—0
Unlearning Climate Misinformation in Large Language Models—0
Unlocking Legal Knowledge with Multi-Layered Embedding-Based Retrieval—0
Unlocking Multi-View Insights in Knowledge-Dense Retrieval-Augmented Generation—0
Unlocking the Potential of Generative AI through Neuro-Symbolic Architectures: Benefits and Limitations—0
Unsupervised Query Routing for Retrieval Augmented Generation—0
Unveiling and Consulting Core Experts in Retrieval-Augmented MoE-based LLMs—0
Unveiling Knowledge Utilization Mechanisms in LLM-based Retrieval-Augmented Generation—0
Unveiling the Magic: Investigating Attention Distillation in Retrieval-augmented Generation—0
Unveiling the Potential of Multimodal Retrieval Augmented Generation with Planning—0
A Theory for Token-Level Harmonization in Retrieval-Augmented Generation—0
URAG: Implementing a Unified Hybrid RAG for Precise Answers in University Admission Chatbots -- A Case Study at HCMUT—0
Using GPT Models for Qualitative and Quantitative News Analytics in the 2024 US Presidental Election Process—0
ValueSim: Generating Backstories to Model Individual Value Systems—0
ValuesRAG: Enhancing Cultural Alignment Through Retrieval-Augmented Contextual Learning—0
VDocRAG: Retrieval-Augmented Generation over Visually-Rich Documents—0
Vendi-RAG: Adaptively Trading-Off Diversity And Quality Significantly Improves Retrieval Augmented Generation With LLMs—0
VERA: Validation and Enhancement for Retrieval Augmented systems—0
VERA: Validation and Evaluation of Retrieval-Augmented Systems—0
Verify with Caution: The Pitfalls of Relying on Imperfect Factuality Metrics—0
Show:102550
← PrevPage 67 of 88Next →

No leaderboard results yet.